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A Senior AI Specialist at fcs solutions in Singapore assists with data science work (mainly data formatting) and supports DevOps operations for system stability and deployment. The role calls for a STEM degree and some familiarity with Python and PyTorch, with heavy emphasis on self-driven research and troubleshooting.
The Data Scientist will design, build, and evaluate LLM‑based and classical ML models for fraud and risk detection, own prompt engineering, and ship models into real‑time streaming pipelines, collaborating closely with engineers. Core technologies include Python, large‑scale data processing, AWS cloud, and modern ML infrastructure.
Lead Data Scientist in MARGO's AI practice, placed with an investment bank to drive GenAI/LLM and ML projects (including an internal translation engine serving 60,000 users), mentor data scientists, and industrialize models with engineering teams. Core stack: Python with scikit-learn, TensorFlow, PyTorch, XGBoost.
Data Scientist in MARGO's AI consulting practice, working on pricing optimization, customer segmentation and recommendation projects for a French industrial group. Day to day: framing business needs, R&D on models, deployment with data engineers, and monitoring via Databricks dashboards, using Python and ML/DL libraries like scikit-learn, TensorFlow, PyTorch and XGBoost.
Data Scientist / ML Engineer in MARGO's AI practice (Paris) building and productionizing deep learning models for NLP, complex document understanding, and business process automation for major clients. Work spans data preparation, model training/evaluation, deployment, and production monitoring.
Data Scientist in MARGO's AI consulting practice, working on Marketing Mix Modeling for a large French industrial group: building and deploying models to measure marketing impact across channels, tracking ROS/ROI, and advising marketing teams on budget allocation, using Python ML tooling on Azure, Databricks and Snowflake.
An entry-level data science engineer builds, deploys, and maintains machine learning, deep learning, and generative AI models for a manufacturing client in Singapore, including data pipelines, model monitoring, and reporting. Core stack: Python (pandas, NumPy, scikit-learn, TensorFlow, Keras) and SQL databases.
TempServ Pte Ltd in Singapore is hiring an Entry-Level Data Science Engineer to develop, deploy, and maintain analytical and ML models and data pipelines for manufacturing operations, collaborating with R&D, operations, and IT to improve efficiency, cut costs, and enhance product quality.
Design and build advanced AI/ML solutions for Cisco’s supply chain, focusing on predictive analytics, LLMs, and agentic workflows to optimize product lifecycle and operational efficiency.
A 12-month industrial placement for penultimate-year students at GE Aerospace's Eastleigh site, applying data science, AI/ML and advanced analytics to aviation projects such as fleet monitoring, repairs and supply chain. Day to day involves Python-based analysis, building dashboards/reports, and presenting insights, with a pipeline into the Digital Technology Leadership Programme.
Data Scientist I supporting CDC public health programs: the person analyzes structured and unstructured public health surveillance data, applies statistics, machine learning/AI, and predictive modeling, and turns findings into visualizations, reports, and decision support. Onsite 5 days/week at the CDC in Atlanta, GA.
Entity: Technology Job Family Group: IT&S Group Job Description: bp is moving through the biggest transition in its 100+ year history with the goal of becoming one of the world’s largest renewable energy providers…
Are you an expert in metabolomics and data analysis that would be excited about supporting cutting-edge research within the fields of nutrition, microbiome and cardiometabolic health? We are looking for a dedicated…
100% remote contract role for a data scientist in the financial/consumer lending domain. Day to day: design experiments, run causal inference and hypothesis testing, build statistical/ML models, and partner with product teams using SQL plus Python or R, with core overlap in Pacific Time hours.
Remote (Mexico) Product Data Scientist supporting consumer lending/fintech products: you'd run statistical analysis, design experiments, and build ML models using SQL and Python or R to directly inform product decisions. Requires 5+ years in hybrid analytics/data science roles with banking/financial services experience.
Lead a multidisciplinary data science team at a MedTech company building AI decision-support software for cardiac electrophysiology. The role combines technical leadership of ML/deep learning algorithm development (Python, PyTorch, scikit-learn) with people management, and ensuring compliance with medical device regulatory standards in an on-site Marseille setting.
DEVnet is hiring a Data Scientist (m/w/d) to join its international team in Munich, Frankfurt am Main, or Hamburg, developing data-driven solutions for customers. The visible posting is truncated and does not detail specific technologies or requirements.
W3 professorship (Lehrstuhl) in Medical Data Science at the University of Passau, Germany. The appointee will lead an academic chair combining research and teaching in medical data science at a university with ~11,000 students and 1,300+ staff on a campus near the old town.
A dual study program (duales Studium) in Data Science/AI starting 2027 at medi GmbH & Co. KG in Bayreuth, Germany. Students alternate between university lectures and hands-on practice, working with data, AI, and modern technologies in a full-time, on-site training role.
Senior Data Scientist at BAUMLINK, a Berlin-based technology company, in a hybrid Berlin role. Day to day, the person applies machine learning and advanced analytics to solve complex forecasting and operational problems, in a German/English speaking environment.
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